{"id":"W2088909565","doi":"10.1071/ch11297","title":"Using Quenching Kinetics and Thermodynamics of Amino-Fluorophores as Empirical Tools for Predicting Boronic Acid Sensors Suitable for Use in Physiological Conditions","year":2011,"lang":"en","type":"article","venue":"Australian Journal of Chemistry","topic":"Molecular Sensors and Ion Detection","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Bombardier (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada; Alexander von Humboldt-Stiftung","keywords":"Chemistry; Exergonic reaction; Boronic acid; Quenching (fluorescence); Kinetics; Electron transfer; Phenylboronic acid; Flufenamic acid; Fluorophore; Imine; Photochemistry; Fluorescence; Organic chemistry; Catalysis","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009518638,0.0007407806,0.0007100442,0.0005400365,0.0001612686,0.0004052967,0.0004163157,0.0007599599,0.000409121],"category_scores_gemma":[0.002471976,0.00037942,0.0004660077,0.000250187,0.0003889984,0.0007278202,0.000212865,0.0005796247,0.000282196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007088333,"about_ca_system_score_gemma":0.0004221031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001261875,"about_ca_topic_score_gemma":0.00153025,"domain_scores_codex":[0.9997386,0.00006026305,0.00002138022,0.00006306071,0.00008574629,0.00003098262],"domain_scores_gemma":[0.9994078,0.0003120402,0.0001506969,0.00003971507,0.00006273248,0.00002695955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001370351,0.00004108531,0.003353394,0.0001540499,0.00004138816,0.00005919835,0.00005553708,0.03833071,0.9512596,0.0006149622,0.00003749314,0.005915647],"study_design_scores_gemma":[0.0000134689,0.0002860656,0.008820201,0.00001109161,0.00004147507,0.0001954369,0.00003351865,0.1971687,0.7915579,0.001106425,0.000727904,0.00003775311],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8622382,0.002112993,0.1333819,0.0001111944,0.00001649296,0.0001177677,0.0004916195,0.000428015,0.001101868],"genre_scores_gemma":[0.9807752,0.001076935,0.01723514,0.00002461842,0.00000621278,0.0001155082,0.0003210221,0.00003399756,0.0004113336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001261875,"threshold_uncertainty_score":0.005142987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1166653075774175,"score_gpt":0.3244270792216979,"score_spread":0.2077617716442804,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}